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Here is a review on the last training I did on ann nnU-Net for spinal canal segmentation.
I went back on the data I used for the previous training and the data used for [the kaggle competition](https…
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Thanks for sharing this code and pretrained weights! It is very helpful to my project.
When I try to run inferencing with provided code, some errors happened, and I spent several hours to solve the…
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I found your work helpful. I really appreciate for your contribution.
I have a question about the evaluation.
In the `nnunet_2d`, did you directly use Dice scores in the `summary.json`(provided auto…
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the author of TS in https://arxiv.org/pdf/2208.05868 state dice score of 0.943 on average, but in this paper table 4 nnunet from scratch dice is 0.826, why?
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I've been working on MRI segmentation tasks using nnU-Net, and I've noticed that the standard configurations often utilize SGD as the optimizer. While I understand that the choice of optimizer and n…
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Hi @TaoZhong11 ,
Thanks for this amazing work!
I encountered an error while running the Docker image with data I obtained from https://fcon_1000.projects.nitrc.org/indi/PRIMEdownloads.html. To t…
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作者您好，如何训练并测试自己的数据集，我的数据集的images和labels都是png格式
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Warning: Origin mismatch between segmentation and corresponding images.
Origin images: (-123.0, 215.3117218017578, 271.3599853515625).
Origin seg: (-124.51171875, 124.51171875, -74.25).
Image fi…
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Dear author, I'd like to know whether the results of MSD tasks were obtained from the official testing sets or custom testing sets split from the official training sets?
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It looks like `nnunetv2` broke something once again. :sweat_smile:
```
File "/home/runner/sct_0.0/spinalcordtoolbox/deepseg/inference.py", line 27, in
import spinalcordtoolbox.deepseg.nnu…